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How Data Centers Became Hot Real Estate Investments explains Rajesh Sennik , Head of Data Centre Advisory at KPMG UK .
AI workloads also require almostinstant processing of vast amounts of data , which also requires a significant amount of energy . This means that dataintensive businesses will be looking for more modern sites that are designed specifically for AI .
“ A data centre configured for typical enterprise applications might require 7-10 kilowatts ( kW ) of power per rack . But for AI , the power requirement increases to more than 30kW per rack ,” says Anna Kristín Pálsdóttir Chief Development Officer at atNorth .
“ As a result , legacy data centre campuses are having to be upgraded – not just to accommodate the digital infrastructure associated with AI workloads but to allow for significant cooling systems and power distribution units ( PDUs ), generators , and uninterruptible power supplies ( UPS ).”
Some of the key differences between traditional and AI data centres are : rack density , cooling technology and server technology . Air-cooled systems are now becoming insufficient for modern workloads , leading businesses to opt for liquid cooling systems direct-to-chip to improve heat transfer and target cooling more efficiently . sustainabilitymag . com 79